iPad15,7
Geekbench AI Score
3411
Single Precision Score
6242
Half Precision Score
5106
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 07:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
2625
488.2 IPS |
|
|
Image Classification (Q)
|
96% |
1818
339.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1397
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6310
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
14923
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12631
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1458
115.6 IPS |
|
|
Object Detection (HP)
|
97% |
2943
234.3 IPS |
|
|
Object Detection (Q)
|
94% |
2128
169.6 IPS |
|
|
Face Detection (SP)
|
100% |
3200
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6222
73.9 IPS |
|
|
Face Detection (Q)
|
100% |
3537
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5887
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11659
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8123
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18217
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29157
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24168
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3823
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5100
188.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3923
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
2758
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4828
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4810
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3399
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7086
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7041
121.7 IPS |
